Nowadays, container transport services play a substantial role in global cargo transportation by serving as an intermodal between the exporter and importer. Container shipping has become increasingly important over the past few decades due to its obvious advantages. However, Vietnam's container market has shown severely ongoing competition among numerous domestic and foreign shipping lines resulting in serious consequences occurring such as the freight rates substantially decreasing within the last ten years. In fact, Vietnam's sea lanes have become more defensive to cover the losses of shipping companies. Selection of criteria for competitive evaluation of container transport companies is necessary to help recognize the problems within the enterprise especially relating to its position in the market and from here, business management are able to put strategic plans in place and reasonable policy in order to be able to survive and grow.

The purposes of this study are to analyze risks of construction step BIM(Building Information Modeling) applied project and improve it. Recently, construction industry has emphasized an importance of BIM for efficient utilization of various information. In the whole life cycle of huge construction project, there are cases introducing BIM and projects applying BIM are gradually increased to the work of construction step. However, the process of cooperation is not established, so the contents of BIM process of construction step are just showing rough fields and concepts of working utilization, so it's restrictive to utilize BIM actively on constructions step. Through results of case study in this research, Construction company risks of BIM business should be efficiently treated with Fuzzy-FMEA that is more precise than existing danger evaluation.

본 연구는 의료분야 사용자 혁신을 아이디어 도출-연구개발-상용화 및 창업의세 단계로 분류하고, 각 단계별로 혁신의 성공에 미치는 핵심요인의 조합을 30개 국내 사례에 대한 퍼지집합 질적 비교분석을 통해 파악했다. 아이디어 단계에서는 사용자 인적 네트워크상에서 그 가치를 평가하고, 연구개발 단계로의 이행을 위한 자원을 제공해 주는 것이 중요했다. 연구개발 단계에서는 급진적 혁신은 기술역량, 자원 접근성, 정부지원이 모두 갖추어져 있거나 우수한 혁신 네트워크에 아이디어가 도입된 경우 발생했다. 상용화/창업의 경우급진적 혁신은 연구개발과 같이 세 조건이 모두 갖춰진 경우 발생했으며, 점진적 혁신은 기술역량이 탁월한 개인이 소규모 정부지원 또는 주변 자원을 활용해 이루어졌다. 민간기업의사용자 혁신 전략과, 정부 지원 정책의 효과, 효율성을 모두 제고할 수 있는 사용자 혁신의틀을 제공했다는 점에 현실적 의미가 있다. 학술적으로는 사용자 혁신 단계별 핵심요인 조합을 규명하고, 퍼지집합 질적 비교분석방법을 적용한 첫 연구라는 의의가 있다.

Recently, a study on reducing the weight of the robot arm, which enables a high-speed operation and enables reducing the energy consumption has been actively carried out. A lightweight robot arm is hard to control because it behaves like a flexible body rather than a rigid body. This paper proposes a controller which combines a PID controller and a fuzzy logic controller for control the position and vibration of the flexible robot arm. In order to show the effectiveness of the proposed controller, MSC.ADAMS computational model which incorporates the finite element flexible robot arm model is developed, and is used for performing simulations. Simulations are carried out with two reference inputs, and three end masses. Simulation results show that the proposed controller controls the position and vibration of the flexible robot arm adaptively without being affected by the reference input and the end mass.

The present study focuses on the construct of entrepreneurial alertness, investigating the external antecedents of the construct, responding to the call for more research pledged by Tang, Kacmar, and Busenitz (2012). Namely, we examine how receiving feedback, awards and collaboration offers in relation to an individual’s hobby activity influences the development of entrepreneurial alertness dimensions. Additionally, we make a contribution by testing the effect of these external factors in a non-entrepreneurial context of homebrewing communities, that is individuals producing beer at home as a hobby. In line with other form of craft activities, this context has demonstrated a high potential for business start-up development due to the increasing number of new small brewing businesses in North America run by entrepreneurs that were previously homebrewers (Carroll & Swaminathan, 2000). We test our tenets within the complexity theory, where configurations of antecedents are examined in order to gain deeper understanding of the possible outcome (Woodside, 2014), using 213 completed questionnaires. We apply fuzzy-set qualitative comparative analysis (fsQCA, Ragin 2000; 2008) to achieve a holistic overview of the examined interrelationships (Ordanini, Parasuraman & Rubera, 2015). We find that high feedback is a sufficient condition for high scanning and search, association and connection, as well as evaluation and judgement activities of entrepreneurial alertness. Without feedback, people at the hobby stage engage in their leisure activities solely because they like it. However, receiving feedback in relation to their hobby outcomes provides an opportunity for individuals to develop and experience additional motivations beyond enjoyment, where they understand that the hobby could be commercialized and bring monetary rewards. Moreover, we find that an individual receiving low amount of awards but high amount of collaboration offers may also have high entrepreneurial alertness. Since individuals receive rewards related to the excellent performance in their leisure activity, it may not provide any cue for a potential transformation into a business. However, the more collaboration offers people receive, the more likely they get involved in scanning and search, association and connection, and evaluation and judgement activities of entrepreneurial alertness. Therefore, they are likely to conduct additional search, connect bits of available information and evaluate this business opportunity (Gaglio & Winter, 2009). The findings of this study could help entrepreneurs reflect on their decisions and behaviours during the business start-up planning process, and measure their entrepreneurial alertness and the extent of readiness to engage in business venturing.

The paper investigates the Brain Drain in Chinese family business based on a sample of 319 family businesses in China. Using a fuzzy set qualitative comparative analysis (fsQCA) to uncover different combinations of conditions (pay and welfare, work environment, management style of the leaders, and career planning) that are sufficient to achieve high and low brain drain. The results show that pay and welfare is a necessary but not a sufficient condition by itself to achieve high brain drain. The findings show that three causal recipes are equifinal in achieving high brain drain. The first causal recipe combines high work environment with low level of career planning and with high pay and welfare. The second combines low work environment with high level of career planning and with high pay and welfare. Finally, the third combines high work environment with high level of management style of the leaders and with high pay and welfare. The study also found two causal configurations that are equifinal to achieve low brain drain. Moreover, these combinations are not a mirror of the combinations founded for high brain drain. This study offers several implications to both researchers and business practitioners: It is acquired that in order to prevent brain drain, the pay and welfare of employees should be raised while the management philosophy should pay attention to humans in the first place. Secondly, the leaders need to improve their own quality so as to strengthen the management of family businesses. Finally, a refined human resource system needs to be established. After brain drain, enterprises should perfect their contract constraining mechanism and, bring in suitable talents promptly so that the loss is minimised.

This study addresses the influence of corruption on firm innovation in Chinese market. Using both the logit model and a fuzzy-set analytical approaches based on a new official sample of 2700 privately-owned and 148 state-owned firms over the period of 2011 to 2013, the study add further evidence to growing methodological consideration regarding complexity theory. The results show a significant negative effect of corruption on firm innovation, additional, firm sale and education and market have a positive bearing on innovation activity. However, the government ownership firms have a negative and significant effect on innovation. The findings have important implication for theory, practitioners and policy-making and shed light on a new perspective to focus on the long run effect of corruption.

The management of the New Service Development (NSD) process remains a key research priority for service organizations. As a diverse mix of team members with different skills, perspectives and backgrounds participate in development teams and close collaboration is required among them, conflicts are likely to arise among team members. Different team members perceive conflict episodes in a different way and often embrace different conflict management behaviours and orientations (e.g. competing, avoiding) to deal with them. This study recognises NSD team as a complex system, through which individual members’ conflict management style choices enable team developmental dynamics, which sequentially lead to intragroup conflict resolution. Although a lot of work exists around the role of individual members’ conflict management styles, little research scrutiny is attracted on how teams solve intragroup conflicts and even limited empirical evidence is available regarding the linkages between individual and team factors can contribute to resolve intragroup conflicts. The present study taking under consideration the causal complexity, asymmetry and idiosyncratic nature of NSD conflict resolution, utilizes Complexity theory and leverages the advantages of fs/QCA in order to shed light on the NSD intragroup conflict resolution. Data was collected from employees in several service industries such as advertising, financial, insurance, consulting, IT services and telecommunications providers. The results confirm the major tenets of Complexity theory highlighting that any attempt to examine complex phenomena, such as NSD conflict resolution, as simple ones, based on symmetrical methodological approaches, may lead to simplistic and distorted explanations. In fact, the results demonstrate that there is not a ‘one fits all’ solution in order to solve NSD conflicts. Different facets for both the conflict-management styles and team dynamics act in various combinations in order to predict high scores in NSD conflict resolution.

Quality function deployment (QFD) is a widely adopted customer-oriented product development methodology by translating customer requirements (CRs) into technical attributes (TAs), and subsequently into parts characteristics, process plans, and manufacturing operations. A main activity in QFD planning process is the determination of the target levels of TAs of a product so as to achieve a high level of customer satisfaction using the data or information included in the houses of quality (HoQ). Gathering the information or data for a HoQ may involve various inputs in the form of linguistic data which are inherently vague, or human perception, judgement and evaluation for the information and data. This research focuses on how to deal with this kind of impreciseness in QFD optimization. In this paper, it is assumed as more realistic situation that the values of TAs are taken as discrete, which means each TA has a few alternatives, as well as the customer satisfaction level acquired by each alternative of TAs and related cost are determined based on subjective or imprecise information and/or data. To handle these imprecise information and/or data, an approach using some basic definitions of fuzzy sets and the signed distance method for ranking fuzzy numbers is proposed. An example of a washing machine under two-segment market is provided for illustrating the proposed approach, and in this example, the difference between the optimal solution from the fuzzy model and that from the crisp model is compared as well as the advantage of using the fuzzy model is drawn.

Pipe Deterioration Prediction (PDP) and Pipe Failure Risk Prediction (PFRP) models were developed in an attempt to predict the deterioration and failure risk in water mains using fuzzy technique and the markov process. These two models were used to determine the priority in repair and replacement, by predicting the deterioration degree, deterioration rate, failure possibility and remaining life in a study sample comprising 32 water mains. From an analysis approach based on conservative risk with a medium policy risk, the remaining life for 30 of the 32 water mains was less than 5 years for 2 mains (7%), 5-10 years for 8 (27%), 10-15 years for 7 (23%), 15-20 years for 5 (17%), 20-25 years for 5 (17%), and 25 years or more for 2 (7%).

The global economic and financial conditions in 2010 and 2011 were positive and the business trade grew at about twice of the rate of that in 2009. The container shipping players started to enjoy a new chapter of international business trade having struggled to operate their vessels since 2008. So we now have to consider if the shipping business will return to its old strategy? What will happen to the container shipping sector in 10 years from now still remains uncertain. Recently, the uncertain situation globally has been giving shipping companies in difficulty the opportunity to make decision as to whether it is necessary to use super slow steaming for containerships. Therefore, the aim of this study is to analyse the necessity of super slow steaming on containerships despite such uncertainty. A Fuzzy Rule-based Bayesian Reasoning method has been used which incorporates the membership function and 14 selected nodes. Finally, the outcome of this study is 48 rules which have been proposed to assist shipping companies in their decision making processes when dealing with the dynamic business environment. Each rule gives a clear-cut understanding of the result which is able to be applied to real situations the containership industry faces.

The major issue in aircraft industry is aviation safety management because of demand improvement and advancement of the aircraft. This study is to assess the risks for aviation safety management using IRPN( importance-risk priority number) which is added to importance coefficient from RPN(risk priority number). In FMEA, RPN requires the factors like the occurrence (O), Severity (S), and Detection (D) of each failure mode to be precisely evaluated. Therefore, the severity and detection is derived by the value from FMEA of expert group based on the Fuzzy theory. The occurrence is calculated from the accident statistics of IATA(international air transport association) database. Particularly, this study introduces importance coefficient to prevent from RPN distortions. It is also derived from FMEA based on the Fuzzy theory. Finally, the critical ranking of risk factors according to I-RPN is compared with the existing research.

태양광 패널로부터 출력을 최대로 얻기 위해서는 신뢰성이 높은 태양광 추적 장치가 설계되어야 한다. 본 논문에서는 LabVIEW 프로그램을 이용하여 퍼지 제어를 기반으로 구현한 2축 태양광 추적 장치 시스템을 제작하여 그 성능에 대해서 알아보았다. 태양광 패널의 움직임을 제어하기 위한 구현된 퍼지 의사결정 시스템의 사용자 인터페이스를 통하여 모든 파라미터를 제어하고 확인할 수 있는 지능제어기와 기계적인 구동부분의 설계가 연구의 중심이 되고 있다. 실제 태양광 추적시스템을 개발하여 환경, 날씨, 계절 및 빛 상태와 같은 영향에 대해서 분석하였다. 태양광 추적장치는 실제 상황에서 시험하였고 시스템 동작과 관련된 모든 변수들은 기록되고 분석되었다. 제안한 태양광 추적시스템을 활용할 경우 고정식 패널에 비해 날씨에 따라 다르지만 최대 약 38% 정도의 더 높은 효율을 얻을 수 있어 자동으로 추적할 때 매우 좋은 결과를 얻을 수 있었다.

PURPOSES: Nighttime driving is very different from daytime driving because drivers must obtain nighttime sight-distances based on road lights and headlights. Unfortunately, nighttime driving conditions in Korea are far from ideal due to poor lighting and an insufficient number of road lights and inadequate operation and maintenance of delineators. This study is conducted to develop new standards for nighttime road visibility based on experiments of driver perception for nighttime visibility conditions. METHODS : In the study, perception level and satisfaction of nighttime visibility were investigated. A total of 60 drivers participated, including 34 older drivers and 31 young drivers. To evaluate driver perceptions of nighttime road visibility, fuzzy set theory was used because the conventional analysis methods for driver perception are limited in effectiveness for considering the characteristics of perception which are subjective and vague, and are generally expressed in terms of linguistic terminologies rather than numerical parameters. RESULTS : This study found that levels of nighttime visibility, as perceived by drivers, are remarkably similar to their satisfactions in different nighttime driving conditions with a log-function relationship. Older drivers evaluated unambiguously degree of nighttime visibility but evaluations by young drivers regarding it were unclear. CONCLUSIONS : A minimum value of brightness on roads was established as YUX 30, based on final analyzed results. In other words, road lights should be installed and operated to obtain more than YUX 30 brightness for the safety and comfort of nighttime driving.

This study is about implementing an job matching web service system based on the Job seeker’s company assessment model proposed by the researchers. Basically, the Job seekers’ company assessment model is based on the concept that each job seeker can evaluate the recruitment company candidates using job seekers’s own major consideration factors. Using the implemented information system, each job seeker’s main considerations in job searching process are evaluated and stored and compared to those of other job seekers’ or groups’ characterized by sex, job experience residential area and etc. by finding out and listing up the companies in the order of the preference of job seeker own or belonging groups, job seekers can be helped to find suitable companies which fit well to themselves.

This study is conducted to suggest ways to mitigate the mismatch phenomenon between job seekers who want to find right company for themselves and companies looking for appropriate new employees. For this purpose, this study improves the company assessment framework reflecting job seekers interests by using fuzzy analytic hierarchy process. The improved evaluation framework is a three-level hierarchical structure, where there are 4 groups at the top level, 12 factors at the intermediate level and 36 indexes at the bottom level. For the empirical analysis of the applicants preferences based on the improved model, a survey for F-AHP analysis is carried out to university students and then priorities of components in the evaluation model are calculated. Moreover, the differences of priority of the company assessment framework are analyzed for different genders, college years, and major divisions. The results show that job seekers’ most concerning factors are wages, stability, working environments, and labor deal, which are ranked highly in this order and the differences in preferences for each type of job seekers (genders, college years, and major divisions) are obvious. The results also show that the male prefers wages to environment, on the other hand female does working environment to wages.

This paper addresses the emotion computing model for software affective agents. In this paper, emotion is represented in valence-arousal-dominance dimensions instead of discrete categorical representation approach. Firstly, a novel emotion model architecture for affective agents is proposed based on Scherer’s componential theories of human emotion, which is one of the well-known emotion models in psychological area. Then a fuzzy logic is applied to determine emotional statuses in the emotion model architecture, i.e., the first valence and arousal, the second valence and arousal, and dominance. The proposed methods are implemented and tested by applying them in a virtual training system for children’s neurobehavioral disorders.